When reading news articles on social networking services and news sites, readers can view comments marked by other people on these articles. By reading these comments, a reader can understand the public opinion about the news, and it is often helpful to grasp the overall picture of the news. However, these comments often contain offensive language that readers do not prefer to read. This study aims to predict such offensive comments to improve the quality of the experience of the reader while reading comments. By considering the diversity of the readers' values, the proposed method predicts offensive news comments for each reader based on the feedback from a small number of news comments that the reader rated as "offensive" in the past. In addition, we used a machine learning model that considers the characteristics of the commenters to make predictions, independent of the words and topics in news comments. The experimental results of the proposed method show that prediction can be personalized even when the amount of readers' feedback data used in the prediction is limited. In particular, the proposed method, which considers the commenters' characteristics, has a low probability of false detection of offensive comments.

Notably, the Galaxy Score leverages artificial intelligence and machine learning to break down crypto movements.

Artificial intelligence has been a buzzword for futurists as long as computers have existed, but 2022 was the year the public started to dread its advancement. With the chatbot ChatGPT released to the public and generating complex answers to millions of prompts in seconds, many people in the business of storytelling have been worried about new competition. Hollywood screenwriters don't have to know how to save the cat if a computer can do it for them. This has been a year loaded with dramatic uncertainty for the industry, from the wild oscillations of the streaming market to the bombardment of doom-and-gloom prognoses for arthouse cinema. But these ephemeral dramas have nothing on the fear of encroaching A.I.

Many holiday songs have lyrics that blend into the background, cloaked in sleigh bells and Christmas jingle, indistinguishable one from another. But if nothing else, every carol sung'round the fire has been written by a human being -- until now. Researchers from the University of Toronto trained a recurrent neural network, a type of complex artificial intelligence (AI), to write a song inspired by an image of a Christmas tree. Give it a listen above, and see if it doesn't chill you more than a frosty winter's eve. In a paper under conference review, the authors explain how they taught the AI to compose tunes by feeding it 100 hours of online music.

Despite wide availability and vast improvements in speech recognition, most folks rarely use voice assistants. And when we do talk to Alexa, Google Assistant, or Siri, it's often just to ask about the weather. But there are a few voice commands you could be using today to enhance your TV viewing experience, because, let's face it, navigating with a TV remote is a pain. Imagine you're halfway through an episode of Andor or your current favorite TV show, and the doorbell goes off. You can use a voice command to pause the action or rewind to where you left off when you return.

The best AI chatbots -- powered by artificial intelligence (AI) -- can help level up your life as an … This process is called machine learning.

Diseases may be diagnosed using statistical estimation or machine learning models trained on electronic health record data (such as diabetes, …

Right at the top is using Artificial Intelligence and Machine Learning to keep people safe.Next is the human aspect where workforce, digital.

This was one finding of a survey by Well-Beat, an Israeli startup whose patient-engagement platform combines machine learning with behavioral …

Furthermore, by using machine learning and AI technologies, we are able to deep-dive into specific learning needs.